#ifndef NNET_SEPARABLE_CONV2D_STREAM_H_
#define NNET_SEPARABLE_CONV2D_STREAM_H_

#include "nnet_common.h"
#include "nnet_conv2d_stream.h"
#include "nnet_sepconv_stream.h"
#include "nnet_types.h"
#include <ac_channel.h>

namespace nnet {

template <class data_T, class res_T, typename CONFIG_T>
void depthwise_conv_2d_encoded_cl(
    ac_channel<data_T> &data, ac_channel<res_T> &res,
    typename CONFIG_T::weight_t weights[CONFIG_T::filt_height * CONFIG_T::filt_width * CONFIG_T::n_chan],
    typename CONFIG_T::bias_t biases[CONFIG_T::n_chan]) {
    assert(CONFIG_T::pad_top == 0 && CONFIG_T::pad_bottom == 0 && CONFIG_T::pad_left == 0 && CONFIG_T::pad_right == 0);
    assert(CONFIG_T::filt_height == CONFIG_T::filt_width);

    static ac_channel<typename data_T::value_type>
        data_window[CONFIG_T::filt_height * CONFIG_T::filt_width * CONFIG_T::n_chan];
    //  const int win_depth = CONFIG_T::filt_height * CONFIG_T::out_width;
    //  for (unsigned i_out = 0; i_out < CONFIG_T::filt_height * CONFIG_T::filt_width * CONFIG_T::n_chan; i_out++) {
    //      #pragma HLS STREAM variable=data_window[i_out] depth=win_depth
    //  }

    // #pragma HLS ARRAY_PARTITION variable=CONFIG_T::pixels complete

    res_T res_pack;
    // PRAGMA_DATA_PACK(res_pack)
    unsigned outputs_ready = 0;

    ac_int<CONFIG_T::filt_height * CONFIG_T::filt_width, false> pixel_idx[data_T::size / CONFIG_T::n_chan];
    // #pragma HLS ARRAY_PARTITION variable=pixel_idx complete

    constexpr int ce_reuse_factor =
        CONFIG_T::reuse_factor * (CONFIG_T::strategy == nnet::latency && data_T::size / CONFIG_T::n_chan == 1);
    (void)ce_reuse_factor;
ReadInputHeight:
    for (unsigned i_ih = 0; i_ih < CONFIG_T::in_height; i_ih++) {
    ReadInputWidth:
        for (unsigned i_iw = 0; i_iw < CONFIG_T::in_width / (data_T::size / CONFIG_T::n_chan); i_iw++) {
            // #pragma HLS LOOP_FLATTEN
            // if (CONFIG_T::strategy == nnet::latency && data_T::size / CONFIG_T::n_chan == 1) {
            //     #pragma HLS PIPELINE II=CONFIG_T::reuse_factor
            // }
            compute_scaled_indices_2d<data_T, CONFIG_T>(i_ih, i_iw, pixel_idx);
            compute_depthwise_output_encoded<data_T, res_T, CONFIG_T>(data.read(), data_window, res, res_pack, outputs_ready,
                                                                      weights, biases, pixel_idx);
        }
    }
}

// Line Buffer Implementation (Phil's)
template <class data_T, class res_T, typename CONFIG_T>
void depthwise_conv_2d_buffer_cl(
    ac_channel<data_T> &data, ac_channel<res_T> &res,
    typename CONFIG_T::weight_t weights[CONFIG_T::filt_height * CONFIG_T::filt_width * CONFIG_T::n_chan],
    typename CONFIG_T::bias_t biases[CONFIG_T::n_chan]) {
    assert(CONFIG_T::pad_top == 0 && CONFIG_T::pad_bottom == 0 && CONFIG_T::pad_left == 0 && CONFIG_T::pad_right == 0);

    static ap_shift_reg<typename data_T::value_type, CONFIG_T::in_width> line_buffer[CONFIG_T::filt_height - 1]
                                                                                    [CONFIG_T::n_chan];
    //#pragma HLS ARRAY_PARTITION variable = line_buffer complete dim = 2

    constexpr int ce_reuse_factor = CONFIG_T::reuse_factor * (CONFIG_T::strategy == nnet::latency);
    (void)ce_reuse_factor;
ReadInputHeight:
    for (unsigned i_ih = 0; i_ih < CONFIG_T::in_height; i_ih++) {
    ReadInputWidth:
        for (unsigned i_iw = 0; i_iw < CONFIG_T::in_width; i_iw++) {
            //#pragma HLS LOOP_FLATTEN
            // if (CONFIG_T::strategy == nnet::latency) {
            //     #pragma HLS PIPELINE II=CONFIG_T::reuse_factor
            // }
            if (CONFIG_T::filt_height > 1) {
                compute_depthwise_output_buffer_2d<data_T, res_T, CONFIG_T>(data.read(), line_buffer, res, weights, biases);
            } else {
                compute_depthwise_output_buffer_1d<data_T, res_T, CONFIG_T>(data.read(), res, weights, biases);
            }
        }
    }
}

template <class data_T, class res_T, typename CONFIG_T>
void depthwise_conv_2d_cl(
    ac_channel<data_T> &data, ac_channel<res_T> &res,
    typename CONFIG_T::weight_t weights[CONFIG_T::filt_height * CONFIG_T::filt_width * CONFIG_T::n_chan],
    typename CONFIG_T::bias_t biases[CONFIG_T::n_chan]) {
    // #pragma HLS inline recursive
    switch (CONFIG_T::implementation) {
    case conv_implementation::linebuffer:
        depthwise_conv_2d_buffer_cl<data_T, res_T, CONFIG_T>(data, res, weights, biases);
        break;
    case conv_implementation::encoded:
        depthwise_conv_2d_encoded_cl<data_T, res_T, CONFIG_T>(data, res, weights, biases);
        break;
    }
}

template <class data_T, class res_T, typename CONFIG_T>
void pointwise_conv_2d_cl(ac_channel<data_T> &data, ac_channel<res_T> &res,
                          typename CONFIG_T::weight_t weights[CONFIG_T::n_chan * CONFIG_T::n_filt],
                          typename CONFIG_T::bias_t biases[CONFIG_T::n_filt]) {
    assert(CONFIG_T::pad_top == 0 && CONFIG_T::pad_bottom == 0 && CONFIG_T::pad_left == 0 && CONFIG_T::pad_right == 0);
    assert(CONFIG_T::filt_height == 1 && CONFIG_T::filt_width == 1);

    // #pragma HLS ARRAY_PARTITION variable=weights complete
    // #pragma HLS ARRAY_PARTITION variable=biases complete

    constexpr int ce_reuse_factor =
        CONFIG_T::reuse_factor * (CONFIG_T::strategy == nnet::latency && data_T::size / CONFIG_T::n_chan == 1);
    (void)ce_reuse_factor;
ReadInputHeight:
    for (unsigned i_ih = 0; i_ih < CONFIG_T::in_height; i_ih++) {
    ReadInputWidth:
        for (unsigned i_iw = 0; i_iw < CONFIG_T::in_width / (data_T::size / CONFIG_T::n_chan); i_iw++) {
            if (CONFIG_T::strategy == nnet::latency && data_T::size / CONFIG_T::n_chan == 1) {
                // #pragma HLS PIPELINE II=CONFIG_T::reuse_factor
            }
            if (i_ih % CONFIG_T::stride_height == 0 && i_iw % CONFIG_T::stride_width == 0) {
                pointwise_mult_buffer<data_T, res_T, CONFIG_T>(data.read(), res, weights, biases);
            } else {
                data.read();
            }
        }
    }
}

template <class data_T, class dw_res_T, class res_T, typename CONFIG_T>
void separable_conv_2d_cl(ac_channel<data_T> &data, ac_channel<res_T> &res,
                          typename CONFIG_T::depthwise_config::weight_t
                              depthwise_weights[CONFIG_T::depthwise_config::filt_height *
                                                CONFIG_T::depthwise_config::filt_width * CONFIG_T::depthwise_config::n_chan],
                          typename CONFIG_T::pointwise_config::weight_t
                              pointwise_weights[CONFIG_T::pointwise_config::n_chan * CONFIG_T::pointwise_config::n_filt],
                          typename CONFIG_T::depthwise_config::bias_t depthwise_biases[CONFIG_T::depthwise_config::n_chan],
                          typename CONFIG_T::pointwise_config::bias_t pointwise_biases[CONFIG_T::pointwise_config::n_filt]) {
    // #pragma HLS DATAFLOW

    static ac_channel<dw_res_T> depthwise_res;
    unsigned res_depth = CONFIG_T::depthwise_config::out_height * CONFIG_T::depthwise_config::out_width;
    // #pragma HLS STREAM variable=depthwise_res depth=res_depth

    depthwise_conv_2d_cl<data_T, dw_res_T, typename CONFIG_T::depthwise_config>(data, depthwise_res, depthwise_weights,
                                                                                depthwise_biases);
    pointwise_conv_2d_cl<dw_res_T, res_T, typename CONFIG_T::pointwise_config>(depthwise_res, res, pointwise_weights,
                                                                               pointwise_biases);
}

} // namespace nnet
#endif
